Quality of Service Enhancement by using Integrated Data Manipulation Strategy in the Cloud Storage Environment

碩士 === 朝陽科技大學 === 資訊管理系碩士班 === 101 === Network bandwidth and hardware technology is developing rapidly, resulting in the vigorous development of the Internet. Cloud Computing is a new concept that provide high reliability, availability, scalability, and flexibility service which was constructed in t...

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Bibliographic Details
Main Authors: Bo-Wei Chen, 陳柏煒
Other Authors: Shu-Ching Wang
Format: Others
Language:zh-TW
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/19153203545306698483
Description
Summary:碩士 === 朝陽科技大學 === 資訊管理系碩士班 === 101 === Network bandwidth and hardware technology is developing rapidly, resulting in the vigorous development of the Internet. Cloud Computing is a new concept that provide high reliability, availability, scalability, and flexibility service which was constructed in the distributed systems and the Internet. In recent years, more and more user uses the cloud storage and services, so how to promote quality of cloud storage service are the main objectives of this study. In this study, an Integrated Data Manipulation Strategy is proposed, the topics of data placement, data compression, file index, and data transport are discussed and the related mechanisms are proposed. In the topic of data placement, the concept of interest-group in peer to peer network is used to ensure the load balance between storage nodes. In the topic of data compression, a new data deduplication mechanism is proposed to reduce the extra cost of traditional data deduplication method. In the topic of file index, the traditional Bloom Filter is modified that index characteristics are combined and the complexity of search time can be derived only O(1). The last topic is data transport, a competition mechanism is proposed between transports nodes that can reduce the transmission time and provide better quality of service to user.